Roughly balanced bagging for imbalanced data.
Shohei HidoHisashi KashimaYutaka TakahashiPublished in: Stat. Anal. Data Min. (2009)
Keyphrases
- imbalanced data
- highly skewed
- imbalanced class distribution
- class distribution
- ensemble methods
- support vector machine
- linear regression
- imbalanced datasets
- feature selection
- learning from imbalanced data
- class imbalance
- ensemble classifier
- sampling methods
- classification models
- random forest
- svm classifier
- prediction accuracy
- imbalanced data sets
- decision trees
- concept drift
- base classifiers
- base learners
- cost sensitive
- non stationary
- least squares
- support vector
- data sets